Text Generation
Transformers
Safetensors
glm_moe_dsa
compressed-tensors
llm-compressor
vllm
conversational
8-bit precision
Instructions to use RedHatAI/GLM-5.2-NVFP4-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RedHatAI/GLM-5.2-NVFP4-FP8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="RedHatAI/GLM-5.2-NVFP4-FP8") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("RedHatAI/GLM-5.2-NVFP4-FP8") model = AutoModelForCausalLM.from_pretrained("RedHatAI/GLM-5.2-NVFP4-FP8", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use RedHatAI/GLM-5.2-NVFP4-FP8 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "RedHatAI/GLM-5.2-NVFP4-FP8" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RedHatAI/GLM-5.2-NVFP4-FP8", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/RedHatAI/GLM-5.2-NVFP4-FP8
- SGLang
How to use RedHatAI/GLM-5.2-NVFP4-FP8 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "RedHatAI/GLM-5.2-NVFP4-FP8" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RedHatAI/GLM-5.2-NVFP4-FP8", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "RedHatAI/GLM-5.2-NVFP4-FP8" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RedHatAI/GLM-5.2-NVFP4-FP8", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use RedHatAI/GLM-5.2-NVFP4-FP8 with Docker Model Runner:
docker model run hf.co/RedHatAI/GLM-5.2-NVFP4-FP8
Add files using upload-large-folder tool
Browse files- .gitattributes +2 -0
- chat_template.jinja +119 -0
- config.json +0 -0
- generation_config.json +11 -0
- model-00001-of-00009.safetensors +3 -0
- model-00002-of-00009.safetensors +3 -0
- model-00003-of-00009.safetensors +3 -0
- model-00004-of-00009.safetensors +3 -0
- model-00005-of-00009.safetensors +3 -0
- model-00006-of-00009.safetensors +3 -0
- model-00007-of-00009.safetensors +3 -0
- model-00008-of-00009.safetensors +3 -0
- model-00009-of-00009.safetensors +3 -0
- model.safetensors.index.json +3 -0
- recipe.yaml +67 -0
- tokenizer.json +3 -0
- tokenizer_config.json +34 -0
.gitattributes
CHANGED
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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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model.safetensors.index.json filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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chat_template.jinja
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[gMASK]<sop>
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{%- set effective_reasoning_effort = 'high' if reasoning_effort is defined and reasoning_effort == 'high' else 'max' -%}
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| 3 |
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{%- if (enable_thinking is not defined or enable_thinking) and effective_reasoning_effort is not none -%}<|system|>Reasoning Effort: {{ effective_reasoning_effort | capitalize }}{%- endif -%}
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{%- if tools -%}
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{%- macro tool_to_json(tool) -%}
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| 6 |
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{%- set ns_tool = namespace(first=true) -%}
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| 7 |
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{{ '{' -}}
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| 8 |
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{%- for k, v in tool.items() -%}
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| 9 |
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{%- if k != 'defer_loading' and k != 'strict' -%}
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| 10 |
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{%- if not ns_tool.first -%}{{- ', ' -}}{%- endif -%}
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| 11 |
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{%- set ns_tool.first = false -%}
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| 12 |
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"{{ k }}": {{ v | tojson(ensure_ascii=False) }}
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| 13 |
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{%- endif -%}
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| 14 |
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{%- endfor -%}
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| 15 |
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{{- '}' -}}
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| 16 |
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{%- endmacro -%}
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| 17 |
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<|system|>
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| 18 |
+
# Tools
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| 19 |
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| 20 |
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You may call one or more functions to assist with the user query.
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| 21 |
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| 22 |
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You are provided with function signatures within <tools></tools> XML tags:
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| 23 |
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<tools>
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{% for tool in tools %}
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{%- if 'function' in tool -%}
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| 26 |
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{%- set tool = tool['function'] -%}
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{%- endif -%}
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{% if tool.defer_loading is not defined or not tool.defer_loading %}
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{{ tool_to_json(tool) }}
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{% endif %}
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{% endfor %}
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</tools>
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For each function call, output the function name and arguments within the following XML format:
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<tool_call>{function-name}<arg_key>{arg-key-1}</arg_key><arg_value>{arg-value-1}</arg_value><arg_key>{arg-key-2}</arg_key><arg_value>{arg-value-2}</arg_value>...</tool_call>{%- endif -%}
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{%- macro visible_text(content) -%}
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{%- if content is string -%}
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| 38 |
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{{- content }}
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| 39 |
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{%- elif content is iterable and content is not mapping -%}
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| 40 |
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{%- for item in content -%}
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| 41 |
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{%- if item is mapping and item.type == 'text' -%}
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{{- item.text }}
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| 43 |
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{%- elif item is string -%}
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{{- item }}
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{%- elif item is mapping and item.type in ['image', 'image_url', 'video', 'video_url', 'audio', 'audio_url', 'input_audio'] -%}
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{%- set media_type = item.type | replace('_url', '') | replace('input_', '') -%}
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{{- "<reminder>You are unable to process this " ~ media_type ~ " because you don't have multi-modal input ability. Try different methods.</reminder>" }}
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{%- endif -%}
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{%- endfor -%}
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| 50 |
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{%- else -%}
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{{- content }}
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| 52 |
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{%- endif -%}
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| 53 |
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{%- endmacro -%}
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| 54 |
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{%- set ns = namespace(last_user_index=-1) -%}
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| 55 |
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{%- for m in messages %}
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| 56 |
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{%- if m.role == 'user' %}
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| 57 |
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{%- set ns.last_user_index = loop.index0 -%}
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| 58 |
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{%- endif %}
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| 59 |
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{%- endfor %}
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| 60 |
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{%- for m in messages -%}
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| 61 |
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{%- if m.role == 'user' -%}<|user|>{{ visible_text(m.content) }}
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| 62 |
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{%- elif m.role == 'assistant' -%}
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| 63 |
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<|assistant|>
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| 64 |
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{%- set content = visible_text(m.content) %}
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| 65 |
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{%- if m.reasoning_content is string %}
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{%- set reasoning_content = m.reasoning_content %}
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{%- elif '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].split('<think>')[-1] %}
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{%- set content = content.split('</think>')[-1] %}
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{%- endif %}
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{%- if ((clear_thinking is defined and not clear_thinking) or loop.index0 > ns.last_user_index) and reasoning_content is defined -%}
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{{ '<think>' + reasoning_content + '</think>'}}
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{%- else -%}
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{{ '<think></think>' }}
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{%- endif -%}
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{%- if content.strip() -%}
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{{ content.strip() }}
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| 78 |
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{%- endif -%}
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| 79 |
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{% if m.tool_calls %}
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| 80 |
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{% for tc in m.tool_calls %}
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| 81 |
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{%- if tc.function %}
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| 82 |
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{%- set tc = tc.function %}
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| 83 |
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{%- endif %}
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| 84 |
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{{- '<tool_call>' + tc.name -}}
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| 85 |
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{% set _args = tc.arguments %}{% for k, v in _args.items() %}<arg_key>{{ k }}</arg_key><arg_value>{{ v | tojson(ensure_ascii=False) if v is not string else v }}</arg_value>{% endfor %}</tool_call>{% endfor %}
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| 86 |
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{% endif %}
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| 87 |
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{%- elif m.role == 'tool' -%}
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| 88 |
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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| 89 |
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{{- '<|observation|>' -}}
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| 90 |
+
{%- endif %}
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| 91 |
+
{%- if m.content is string -%}
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| 92 |
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{{- '<tool_response>' + m.content + '</tool_response>' -}}
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| 93 |
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{%- elif m.content is iterable and m.content is not mapping and m.content and m.content.0.type == "tool_reference" -%}
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| 94 |
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{{- '<tool_response><tools>\n' -}}
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| 95 |
+
{% for tr in m.content %}
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| 96 |
+
{%- for tool in tools -%}
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| 97 |
+
{%- if 'function' in tool -%}
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| 98 |
+
{%- set tool = tool['function'] -%}
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| 99 |
+
{%- endif -%}
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| 100 |
+
{%- if tool.name == tr.name -%}
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| 101 |
+
{{- tool_to_json(tool) + '\n' -}}
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| 102 |
+
{%- endif -%}
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| 103 |
+
{%- endfor -%}
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| 104 |
+
{%- endfor -%}
|
| 105 |
+
{{- '</tools></tool_response>' -}}
|
| 106 |
+
{%- elif m.content is iterable and m.content is not mapping and m.content and m.content.0 is mapping and m.content.0.output is defined -%}
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| 107 |
+
{%- for tr in m.content -%}
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| 108 |
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{{- '<tool_response>' + tr.output + '</tool_response>' -}}
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| 109 |
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{%- endfor -%}
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| 110 |
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{%- else -%}
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| 111 |
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{{- '<tool_response>' + visible_text(m.content) + '</tool_response>' -}}
|
| 112 |
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{% endif -%}
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| 113 |
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{%- elif m.role == 'system' -%}
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| 114 |
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<|system|>{{ visible_text(m.content) }}
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| 115 |
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{%- endif -%}
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| 116 |
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{%- endfor -%}
|
| 117 |
+
{%- if add_generation_prompt -%}
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| 118 |
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<|assistant|>{{- '<think></think>' if (enable_thinking is defined and not enable_thinking) else '<think>' -}}
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| 119 |
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{%- endif -%}
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config.json
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generation_config.json
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{
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"_from_model_config": true,
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"eos_token_id": [
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154820,
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154827,
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154829
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],
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"pad_token_id": 154820,
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"temperature": 1.0,
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| 10 |
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"transformers_version": "5.13.0.dev0"
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}
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model-00001-of-00009.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c0002a5c061c2f456b7d9f4e615e7e5f995ae80ddb41d556cb0722c385b54aa4
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size 49990763448
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model-00002-of-00009.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1375ed643b3b90aea9a3f910a0c114f0e732d894458d35e8d3f07b3779468bb6
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size 49999397016
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model-00003-of-00009.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:75a31704298decfa1fa4fbddde1b1429012bd97b100bfcb8c773d22537389fe0
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size 49999308400
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model-00004-of-00009.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:52acc5568a7f835a3b0dd5010fd659ca840ce8d5538d7fc5b695079d7d88d5d8
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size 49998520944
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model-00005-of-00009.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:79ba1cfccfa4e0ed3f095da272127679ce9e73860ad7d4d1aad2a9ffdecdd8c9
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size 49998520736
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model-00006-of-00009.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6ec9bbb0935fe48f1b274e3dce8b107d269499ed9293103a4f006caf6bbd0a66
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size 49993737920
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model-00007-of-00009.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c42055c9071a5e79c9343e2b55da983f54556b80b10efb0f67ab76a621393f7c
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| 3 |
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size 49998520264
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model-00008-of-00009.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8bbf93a9cebd2e360bb028cefc729a3509f464284575779ed9e9a77be611b434
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| 3 |
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size 49998520528
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model-00009-of-00009.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:95d299dac392291be22eb45eb70afa9cb01b4fee926ac3ff4e7c090a0553473a
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size 26828190320
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model.safetensors.index.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:6df2348c7a9e3db489326e28a1e06908da036671311c98ac97fba443a780136f
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size 23333946
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recipe.yaml
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|
|
|
| 1 |
+
default_stage:
|
| 2 |
+
default_modifiers:
|
| 3 |
+
QuantizationModifier:
|
| 4 |
+
config_groups:
|
| 5 |
+
attention:
|
| 6 |
+
targets: ['re:.*self_attn\..*']
|
| 7 |
+
weights:
|
| 8 |
+
num_bits: 8
|
| 9 |
+
type: float
|
| 10 |
+
symmetric: true
|
| 11 |
+
group_size: null
|
| 12 |
+
strategy: block
|
| 13 |
+
block_structure: [128, 128]
|
| 14 |
+
dynamic: false
|
| 15 |
+
actorder: null
|
| 16 |
+
scale_dtype: null
|
| 17 |
+
zp_dtype: null
|
| 18 |
+
observer: memoryless_minmax
|
| 19 |
+
observer_kwargs: {}
|
| 20 |
+
input_activations:
|
| 21 |
+
num_bits: 8
|
| 22 |
+
type: float
|
| 23 |
+
symmetric: true
|
| 24 |
+
group_size: 128
|
| 25 |
+
strategy: group
|
| 26 |
+
block_structure: null
|
| 27 |
+
dynamic: true
|
| 28 |
+
actorder: null
|
| 29 |
+
scale_dtype: null
|
| 30 |
+
zp_dtype: null
|
| 31 |
+
observer: null
|
| 32 |
+
observer_kwargs: {}
|
| 33 |
+
output_activations: null
|
| 34 |
+
format: null
|
| 35 |
+
mlp:
|
| 36 |
+
targets: ['re:.*mlp\..*']
|
| 37 |
+
weights:
|
| 38 |
+
num_bits: 4
|
| 39 |
+
type: float
|
| 40 |
+
symmetric: true
|
| 41 |
+
group_size: 16
|
| 42 |
+
strategy: tensor_group
|
| 43 |
+
block_structure: null
|
| 44 |
+
dynamic: false
|
| 45 |
+
actorder: null
|
| 46 |
+
scale_dtype: torch.float8_e4m3fn
|
| 47 |
+
zp_dtype: null
|
| 48 |
+
observer: memoryless_minmax
|
| 49 |
+
observer_kwargs: {}
|
| 50 |
+
input_activations:
|
| 51 |
+
num_bits: 4
|
| 52 |
+
type: float
|
| 53 |
+
symmetric: true
|
| 54 |
+
group_size: 16
|
| 55 |
+
strategy: tensor_group
|
| 56 |
+
block_structure: null
|
| 57 |
+
dynamic: local
|
| 58 |
+
actorder: null
|
| 59 |
+
scale_dtype: torch.float8_e4m3fn
|
| 60 |
+
zp_dtype: null
|
| 61 |
+
observer: static_minmax
|
| 62 |
+
observer_kwargs: {}
|
| 63 |
+
output_activations: null
|
| 64 |
+
format: null
|
| 65 |
+
targets: [Linear]
|
| 66 |
+
ignore: ['re:^model\.layers\.[0-2]\..*re:.*mlp\.gate.*', lm_head]
|
| 67 |
+
bypass_divisibility_checks: false
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:19e773648cb4e65de8660ea6365e10acca112d42a854923df93db4a6f333a82d
|
| 3 |
+
size 20217442
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"clean_up_tokenization_spaces": false,
|
| 4 |
+
"do_lower_case": false,
|
| 5 |
+
"eos_token": "<|endoftext|>",
|
| 6 |
+
"extra_special_tokens": [
|
| 7 |
+
"<|endoftext|>",
|
| 8 |
+
"[MASK]",
|
| 9 |
+
"[gMASK]",
|
| 10 |
+
"[sMASK]",
|
| 11 |
+
"<sop>",
|
| 12 |
+
"<eop>",
|
| 13 |
+
"<|system|>",
|
| 14 |
+
"<|user|>",
|
| 15 |
+
"<|assistant|>",
|
| 16 |
+
"<|observation|>",
|
| 17 |
+
"<|begin_of_image|>",
|
| 18 |
+
"<|end_of_image|>",
|
| 19 |
+
"<|begin_of_video|>",
|
| 20 |
+
"<|end_of_video|>",
|
| 21 |
+
"<|begin_of_audio|>",
|
| 22 |
+
"<|end_of_audio|>",
|
| 23 |
+
"<|begin_of_transcription|>",
|
| 24 |
+
"<|end_of_transcription|>"
|
| 25 |
+
],
|
| 26 |
+
"is_local": false,
|
| 27 |
+
"local_files_only": false,
|
| 28 |
+
"model_max_length": 1048576,
|
| 29 |
+
"model_specific_special_tokens": {},
|
| 30 |
+
"pad_token": "<|endoftext|>",
|
| 31 |
+
"padding_side": "left",
|
| 32 |
+
"remove_space": false,
|
| 33 |
+
"tokenizer_class": "TokenizersBackend"
|
| 34 |
+
}
|